Dataset Versions
Versions
v1
2024-09-04 12:24am
Generated on Sep 4, 2024
1176 Total Images
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Dataset Split
Train Set 88%
1032Images
Valid Set 8%
95Images
Test Set 4%
49Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 1.6px
Noise: Up to 0.5% of pixels